82 citations · 83 across the 3 of their papers we have counts for
5 papers
Forecasting Brain Activity Based on Models of Spatio-Temporal Brain Dynamics: A Comparison of Graph Neural Network Architectures
Simon Wein, Alina Schüller, Ana Maria Tomé +3
Comprehending the interplay between spatial and temporal characteristics of neural dynamics can contribute to our understanding of information processing in the human brain. Graph…
A Graph Neural Network Framework for Causal Inference in Brain Networks
Simon Wein, Wilhelm Malloni, Ana Maria Tomé +5
A central question in neuroscience is how self-organizing dynamic interactions in the brain emerge on their relatively static structural backbone. Due to the complexity of spatial…
A constrained ICA-EMD Model for Group Level fMRI Analysis
Simon Wein, Ana Maria Tomé, Markus Goldhacker +2
Independent component analysis (ICA), as a data driven method, has shown to be a powerful tool for functional magnetic resonance imaging (fMRI) data analysis. One drawback of this…
Frequency-resolved dynamic functional connectivity and scale-invariant connectivity-state behavior
Markus Goldhacker, Ana Maria Tomé, Mark W. Greenlee +1
Investigating temporal variability of functional connectivity is an emerging field in connectomics. Entering dynamic functional connectivity by applying sliding window techniques o…
Morphometric analyses of the visual pathways in macular degeneration
Aditya T. Hernowo, Doety Prins, Heidi A. Baseler +6
Introduction. Macular degeneration (MD) causes central visual field loss. When field defects occur in both eyes and overlap, parts of the visual pathways are no longer stimulated.…